Hossain, S. M. K., & Fu, L. (2014). Optimal Snow and Ice Control for Parking Lots and Sidewalks. Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC); Landscape Ontario, Milton, Ontario; Snow and Ice Management Association (SIMA) USA; The Region of Waterloo; Toronto Region and Conservation Authority (TRCA).
Snow and ice cause pavement surfaces to become slippery and unsafe for both foot and vehicular traffic. To alleviate the hazards of pedestrians slipping and vehicular accidents, various forms of maintenance operations such as, deicing and anti-icing are conducted to control snow and ice from transportation facilities including roadways, parking lots and sidewalks. These efforts use a significant amount of resources every winter season. For instance, over $1 billion is spent annually for snow and ice control in Canada. This large cost includes the use over 5 million tons of salts (TAC, 2013). The application of excessive amount of salts has, however, raised concerns among environmental and regulatory agencies as well as the public about their detrimental effects on the environment and corrosive effects to the infrastructure (e.g., pavement, roadside structures) and vehicles. A sensible and optimal salting strategy is therefore necessary in order to reduce the harmful effects of salt while keeping the various transportation facilities safe.
To realize an optimal salting strategy, one of the first steps is developing salting guidelines that specify salt application rates and treatment options for the conditions of any given snow event. A significant amount of research has been conducted in the past to develop such guidelines; however, most of these efforts focused on roadway maintenance with little concern about parking lots and sidewalks. The salt application rates developed for roadways are not applicable for the latter due to differences in traffic characteristics (vehicular vs. pedestrian) and service requirements (i.e., desirable bare pavement regain time). The main goal of this research is to develop a quantitative understanding of the snow melting performance of common snow control materials and methods, through a systematic field study, so that optimal application rates can be determined for parking lots or sidewalks under any specific weather events; this will ultimately lead to the development of a comprehensive winter maintenance guideline for parking lots and sidewalks. To develop a comprehensive winter maintenance guideline for parking lots and sidewalks, Landscape Ontario along with other industrial and government partners such as NSERC, SIMA, TRCA, Region of Waterloo and a number of private companies from across Ontario came forward to undertake this comprehensive research project.
The field tests of this project were conducted over the winter seasons of 2011-2012, 2012-2013 and 2013-2014 in Waterloo, Ontario, Canada. In these testing seasons, there were about 100 snow events in total with pavement surface temperatures ranging from about -20°C to 3°C, and snow precipitation from about 0.2cm to 22cm. Approximately 5000 tests were conducted using different salts (e.g., regular rock salt, alternative solid salts-semi to full organic, pre-wetted salts, liquid organic salts) and treatment methods (i.e., deicing and anti-icing), including tests with plowed and unplowed snow, with and without traffic, and in both stall areas, driveways and sidewalks.
The field tests have resulted in a unique database covering the field performance of various winter maintenance materials and techniques. This performance data has then been rigorously analyzed using statistical tools to develop a quantitative understanding of the conditions that influence the effectiveness of various maintenance treatment options and to facilitate the establishment of a set of recommended treatment options and application rates for a wide variety of winter events. A majority of the tests covered deicing application of different salts. The performance of a given treatment has been measured as the time needed to reach 80% bare pavement status from the time salt was applied on top of snow. With the performance data from the deicing operations, an extensive exploratory data analysis has been conducted to investigate the factors that influence the performance of salt as a deicer. From this analysis, it was found that salt application rate, pavement temperature, snow depth, snow density and traffic are highly correlated with the snow melting performance of salt. A multivariate regression analysis was then conducted for a more rigorous analysis, quantitative information of effect, and statistical reliability of the influencing factors. The results of the regression has confirmed that all the initial factors suspected are statistically significant on the snow melting performance of salt at a 95% confidence level. With the understanding gained on physical behavior of the snow melting of salt and from the collected empirical data, a physical-empirical model has been developed. This model was then used to determine minimum application rate for a given snow event. Factors to adjust the base application rate have also been developed for some facility or treatment specific conditions such as different traffic patterns, pavement types, or using alternative salt as a deicer.
In addition to deicing treatments, a significant amount of anti-icing tests have been conducted using various common and emerging anti-icers. Since, the main objective of anti-icing is to prevent bonding between snow and the pavement’s surface form occurring, the co-efficient of friction was measured on treated sections and control sections using a friction tester after the end of a snow event. The friction data and event conditions data were then rigorously analyzed using various statistical tools such as ANOVA to determine the optimal application rate for anti-icing purposes.
In summary, this research first investigated the direct link between the snow melting performance of salt and weather characteristics. The results derived from this work were based on impressive amount of field testing data that reflected real-world conditions. With the collected performance and weather data, a snow melting model has been developed that is the first of its kind based on the literature reviewed. The model was then used to determine minimum salt application rates for a number of given scenarios. The performance model has also been used to prescribe adjustments to the recommended application rates based on some external or site specific factors (e.g., traffic, pavement type). This research is also the first to conduct an in-depth analysis on the investigation of the effectiveness of anti-icing operations and tested both common and emerging anti-icers. Based on a significant amount of data, an analysis of variance on the friction data has been conducted to determine the effectiveness of treatment and determine optimal application rates with statistical reliability. The field test results and insight that have been gained from this research have been used to develop a decision support tool for snow and ice control in the real world. These tools are the first of their kind and are currently in use among a number of winter maintenance contractor for parking lots and sidewalks. This research also provides deep insights on the optimal winter maintenance of other types of transportation facilities, such as roadway winter maintenance operations.